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# -*- coding:utf-8 -*-
import logging
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s [%(levelname)s] [%(filename)s:%(lineno)d] %(message)s",
)
import colorama
import gradio as gr
from modules import config
from modules.config import *
from modules.utils import *
from modules.presets import *
from modules.overwrites import *
from modules.webui import *
from modules.repo import *
from modules.train_func import *
from modules.models.models import get_model
logging.getLogger("httpx").setLevel(logging.WARNING)
gr.Chatbot._postprocess_chat_messages = postprocess_chat_messages
gr.Chatbot.postprocess = postprocess
# with open("web_assets/css/ChuanhuChat.css", "r", encoding="utf-8") as f:
# ChuanhuChatCSS = f.read()
def create_new_model():
return get_model(model_name = MODELS[DEFAULT_MODEL], access_key = my_api_key)[0]
with gr.Blocks(theme=small_and_beautiful_theme) as demo:
user_name = gr.State("")
promptTemplates = gr.State(load_template(get_template_names(plain=True)[0], mode=2))
user_question = gr.State("")
assert type(my_api_key)==str
user_api_key = gr.State(my_api_key)
current_model = gr.State(create_new_model)
topic = gr.State(i18n("未命名对话历史记录"))
with gr.Row():
gr.HTML(CHUANHU_TITLE, elem_id="app-title")
status_display = gr.Markdown(get_geoip(), elem_id="status-display")
with gr.Row(elem_id="float-display"):
user_info = gr.Markdown(value="getting user info...", elem_id="user-info")
config_info = gr.HTML(get_html("config_info.html").format(bot_avatar=config.bot_avatar, user_avatar=config.user_avatar), visible=False, elem_id="config-info")
update_info = gr.HTML(get_html("update.html").format(
current_version=repo_tag_html(),
version_time=version_time(),
cancel_btn=i18n("取消"),
update_btn=i18n("更新"),
seenew_btn=i18n("详情"),
ok_btn=i18n("好"),
), visible=check_update)
with gr.Row(equal_height=True):
with gr.Column(scale=5):
with gr.Row():
chatbot = gr.Chatbot(label="Chuanhu Chat", elem_id="chuanhu-chatbot", latex_delimiters=latex_delimiters_set, height=700)
with gr.Row():
with gr.Column(min_width=225, scale=12):
user_input = gr.Textbox(
elem_id="user-input-tb",
show_label=False, placeholder=i18n("在这里输入"),
container=False
)
with gr.Column(min_width=42, scale=1):
submitBtn = gr.Button(value="", variant="primary", elem_id="submit-btn")
cancelBtn = gr.Button(value="", variant="secondary", visible=False, elem_id="cancel-btn")
with gr.Row(elem_id="chatbot-buttons"):
with gr.Column(min_width=120, scale=1):
emptyBtn = gr.Button(
i18n("🧹 新的对话"), elem_id="empty-btn"
)
with gr.Column(min_width=120, scale=1):
retryBtn = gr.Button(i18n("🔄 重新生成"))
with gr.Column(min_width=120, scale=1):
delFirstBtn = gr.Button(i18n("🗑️ 删除最旧对话"))
with gr.Column(min_width=120, scale=1):
delLastBtn = gr.Button(i18n("🗑️ 删除最新对话"))
with gr.Row(visible=False) as like_dislike_area:
with gr.Column(min_width=20, scale=1):
likeBtn = gr.Button(i18n("👍"))
with gr.Column(min_width=20, scale=1):
dislikeBtn = gr.Button(i18n("👎"))
with gr.Column():
with gr.Column(min_width=50, scale=1):
with gr.Tab(label=i18n("模型")):
keyTxt = gr.Textbox(
show_label=True,
placeholder=f"Your API-key...",
value=hide_middle_chars(user_api_key.value),
type="password",
visible=not HIDE_MY_KEY,
label="API-Key",
)
if multi_api_key:
usageTxt = gr.Markdown(i18n("多账号模式已开启,无需输入key,可直接开始对话"), elem_id="usage-display", elem_classes="insert-block", visible=show_api_billing)
else:
usageTxt = gr.Markdown(i18n("**发送消息** 或 **提交key** 以显示额度"), elem_id="usage-display", elem_classes="insert-block", visible=show_api_billing)
model_select_dropdown = gr.Dropdown(
label=i18n("选择模型"), choices=MODELS, multiselect=False, value=MODELS[DEFAULT_MODEL], interactive=True
)
lora_select_dropdown = gr.Dropdown(
label=i18n("选择LoRA模型"), choices=[], multiselect=False, interactive=True, visible=False
)
with gr.Row():
single_turn_checkbox = gr.Checkbox(label=i18n("单轮对话"), value=False, elem_classes="switch-checkbox")
use_websearch_checkbox = gr.Checkbox(label=i18n("使用在线搜索"), value=False, elem_classes="switch-checkbox")
language_select_dropdown = gr.Dropdown(
label=i18n("选择回复语言(针对搜索&索引功能)"),
choices=REPLY_LANGUAGES,
multiselect=False,
value=REPLY_LANGUAGES[0],
)
index_files = gr.Files(label=i18n("上传"), type="file", elem_id="upload-index-file")
two_column = gr.Checkbox(label=i18n("双栏pdf"), value=advance_docs["pdf"].get("two_column", False))
summarize_btn = gr.Button(i18n("总结"))
# TODO: 公式ocr
# formula_ocr = gr.Checkbox(label=i18n("识别公式"), value=advance_docs["pdf"].get("formula_ocr", False))
with gr.Tab(label="Prompt"):
systemPromptTxt = gr.Textbox(
show_label=True,
placeholder=i18n("在这里输入System Prompt..."),
label="System prompt",
value=INITIAL_SYSTEM_PROMPT,
lines=10
)
with gr.Accordion(label=i18n("加载Prompt模板"), open=True):
with gr.Column():
with gr.Row():
with gr.Column(scale=6):
templateFileSelectDropdown = gr.Dropdown(
label=i18n("选择Prompt模板集合文件"),
choices=get_template_names(plain=True),
multiselect=False,
value=get_template_names(plain=True)[0],
container=False,
)
with gr.Column(scale=1):
templateRefreshBtn = gr.Button(i18n("🔄 刷新"))
with gr.Row():
with gr.Column():
templateSelectDropdown = gr.Dropdown(
label=i18n("从Prompt模板中加载"),
choices=load_template(
get_template_names(plain=True)[0], mode=1
),
multiselect=False,
container=False,
)
with gr.Tab(label=i18n("保存/加载")):
with gr.Accordion(label=i18n("保存/加载对话历史记录"), open=True):
with gr.Column():
with gr.Row():
with gr.Column(scale=6):
historyFileSelectDropdown = gr.Dropdown(
label=i18n("从列表中加载对话"),
choices=get_history_names(plain=True),
multiselect=False,
container=False,
)
with gr.Row():
with gr.Column(min_width=42, scale=1):
historyRefreshBtn = gr.Button(i18n("🔄 刷新"))
with gr.Column(min_width=42, scale=1):
historyDeleteBtn = gr.Button(i18n("🗑️ 删除"))
with gr.Row():
with gr.Column(scale=6):
saveFileName = gr.Textbox(
show_label=True,
placeholder=i18n("设置文件名: 默认为.json,可选为.md"),
label=i18n("设置保存文件名"),
value=i18n("对话历史记录"),
elem_classes="no-container"
# container=False,
)
with gr.Column(scale=1):
saveHistoryBtn = gr.Button(i18n("💾 保存对话"))
exportMarkdownBtn = gr.Button(i18n("📝 导出为Markdown"))
gr.Markdown(i18n("默认保存于history文件夹"))
with gr.Row():
with gr.Column():
downloadFile = gr.File(interactive=True)
with gr.Tab(label=i18n("微调")):
openai_train_status = gr.Markdown(label=i18n("训练状态"), value=i18n("在这里[查看使用介绍](https://github.com/GaiZhenbiao/ChuanhuChatGPT/wiki/%E4%BD%BF%E7%94%A8%E6%95%99%E7%A8%8B#%E5%BE%AE%E8%B0%83-gpt-35)"))
with gr.Tab(label=i18n("准备数据集")):
dataset_preview_json = gr.JSON(label=i18n("数据集预览"), readonly=True)
dataset_selection = gr.Files(label = i18n("选择数据集"), file_types=[".xlsx", ".jsonl"], file_count="single")
upload_to_openai_btn = gr.Button(i18n("上传到OpenAI"), variant="primary", interactive=False)
with gr.Tab(label=i18n("训练")):
openai_ft_file_id = gr.Textbox(label=i18n("文件ID"), value="", lines=1, placeholder=i18n("上传到 OpenAI 后自动填充"))
openai_ft_suffix = gr.Textbox(label=i18n("模型名称后缀"), value="", lines=1, placeholder=i18n("可选,用于区分不同的模型"))
openai_train_epoch_slider = gr.Slider(label=i18n("训练轮数(Epochs)"), minimum=1, maximum=100, value=3, step=1, interactive=True)
openai_start_train_btn = gr.Button(i18n("开始训练"), variant="primary", interactive=False)
with gr.Tab(label=i18n("状态")):
openai_status_refresh_btn = gr.Button(i18n("刷新状态"))
openai_cancel_all_jobs_btn = gr.Button(i18n("取消所有任务"))
add_to_models_btn = gr.Button(i18n("添加训练好的模型到模型列表"), interactive=False)
with gr.Tab(label=i18n("高级")):
gr.HTML(get_html("appearance_switcher.html").format(label=i18n("切换亮暗色主题")), elem_classes="insert-block")
use_streaming_checkbox = gr.Checkbox(
label=i18n("实时传输回答"), value=True, visible=ENABLE_STREAMING_OPTION, elem_classes="switch-checkbox"
)
checkUpdateBtn = gr.Button(i18n("🔄 检查更新..."), visible=check_update)
gr.Markdown(i18n("# ⚠️ 务必谨慎更改 ⚠️"), elem_id="advanced-warning")
with gr.Accordion(i18n("参数"), open=False):
temperature_slider = gr.Slider(
minimum=-0,
maximum=2.0,
value=1.0,
step=0.1,
interactive=True,
label="temperature",
)
top_p_slider = gr.Slider(
minimum=-0,
maximum=1.0,
value=1.0,
step=0.05,
interactive=True,
label="top-p",
)
n_choices_slider = gr.Slider(
minimum=1,
maximum=10,
value=1,
step=1,
interactive=True,
label="n choices",
)
stop_sequence_txt = gr.Textbox(
show_label=True,
placeholder=i18n("停止符,用英文逗号隔开..."),
label="stop",
value="",
lines=1,
)
max_context_length_slider = gr.Slider(
minimum=1,
maximum=32768,
value=2000,
step=1,
interactive=True,
label="max context",
)
max_generation_slider = gr.Slider(
minimum=1,
maximum=32768,
value=1000,
step=1,
interactive=True,
label="max generations",
)
presence_penalty_slider = gr.Slider(
minimum=-2.0,
maximum=2.0,
value=0.0,
step=0.01,
interactive=True,
label="presence penalty",
)
frequency_penalty_slider = gr.Slider(
minimum=-2.0,
maximum=2.0,
value=0.0,
step=0.01,
interactive=True,
label="frequency penalty",
)
logit_bias_txt = gr.Textbox(
show_label=True,
placeholder=f"word:likelihood",
label="logit bias",
value="",
lines=1,
)
user_identifier_txt = gr.Textbox(
show_label=True,
placeholder=i18n("用于定位滥用行为"),
label=i18n("用户名"),
value=user_name.value,
lines=1,
)
with gr.Accordion(i18n("网络参数"), open=False):
gr.Markdown(i18n("---\n⚠️ 为保证API-Key安全,请在配置文件`config.json`中修改网络设置"), elem_id="netsetting-warning")
default_btn = gr.Button(i18n("🔙 恢复默认网络设置"))
# 网络代理
proxyTxt = gr.Textbox(
show_label=True,
placeholder=i18n("未设置代理..."),
label=i18n("代理地址"),
value=config.http_proxy,
lines=1,
interactive=False,
# container=False,
elem_classes="view-only-textbox no-container",
)
# changeProxyBtn = gr.Button(i18n("🔄 设置代理地址"))
# 优先展示自定义的api_host
apihostTxt = gr.Textbox(
show_label=True,
placeholder="api.openai.com",
label="OpenAI API-Host",
value=config.api_host or shared.API_HOST,
lines=1,
interactive=False,
# container=False,
elem_classes="view-only-textbox no-container",
)
# changeAPIURLBtn = gr.Button(i18n("🔄 切换API地址"))
updateChuanhuBtn = gr.Button(visible=False, elem_classes="invisible-btn", elem_id="update-chuanhu-btn")
gr.Markdown(CHUANHU_DESCRIPTION, elem_id="description")
gr.HTML(get_html("footer.html").format(versions=versions_html()), elem_id="footer")
# https://github.com/gradio-app/gradio/pull/3296
def create_greeting(request: gr.Request):
if hasattr(request, "username") and request.username: # is not None or is not ""
logging.info(f"Get User Name: {request.username}")
user_info, user_name = gr.Markdown.update(value=f"User: {request.username}"), request.username
else:
user_info, user_name = gr.Markdown.update(value=f"", visible=False), ""
current_model = get_model(model_name = MODELS[DEFAULT_MODEL], access_key = my_api_key)[0]
current_model.set_user_identifier(user_name)
chatbot = gr.Chatbot.update(label=MODELS[DEFAULT_MODEL])
return user_info, user_name, current_model, toggle_like_btn_visibility(DEFAULT_MODEL), *current_model.auto_load(), get_history_names(False, user_name), chatbot
demo.load(create_greeting, inputs=None, outputs=[user_info, user_name, current_model, like_dislike_area, systemPromptTxt, chatbot, historyFileSelectDropdown, chatbot], api_name="load")
chatgpt_predict_args = dict(
fn=predict,
inputs=[
current_model,
user_question,
chatbot,
use_streaming_checkbox,
use_websearch_checkbox,
index_files,
language_select_dropdown,
],
outputs=[chatbot, status_display],
show_progress=True,
)
start_outputing_args = dict(
fn=start_outputing,
inputs=[],
outputs=[submitBtn, cancelBtn],
show_progress=True,
)
end_outputing_args = dict(
fn=end_outputing, inputs=[], outputs=[submitBtn, cancelBtn]
)
reset_textbox_args = dict(
fn=reset_textbox, inputs=[], outputs=[user_input]
)
transfer_input_args = dict(
fn=transfer_input, inputs=[user_input], outputs=[user_question, user_input, submitBtn, cancelBtn], show_progress=True
)
get_usage_args = dict(
fn=billing_info, inputs=[current_model], outputs=[usageTxt], show_progress=False
)
load_history_from_file_args = dict(
fn=load_chat_history,
inputs=[current_model, historyFileSelectDropdown, user_name],
outputs=[saveFileName, systemPromptTxt, chatbot]
)
refresh_history_args = dict(
fn=get_history_names, inputs=[gr.State(False), user_name], outputs=[historyFileSelectDropdown]
)
# Chatbot
cancelBtn.click(interrupt, [current_model], [])
user_input.submit(**transfer_input_args).then(**chatgpt_predict_args).then(**end_outputing_args)
user_input.submit(**get_usage_args)
submitBtn.click(**transfer_input_args).then(**chatgpt_predict_args, api_name="predict").then(**end_outputing_args)
submitBtn.click(**get_usage_args)
index_files.change(handle_file_upload, [current_model, index_files, chatbot, language_select_dropdown], [index_files, chatbot, status_display])
summarize_btn.click(handle_summarize_index, [current_model, index_files, chatbot, language_select_dropdown], [chatbot, status_display])
emptyBtn.click(
reset,
inputs=[current_model],
outputs=[chatbot, status_display],
show_progress=True,
_js='clearChatbot',
)
retryBtn.click(**start_outputing_args).then(
retry,
[
current_model,
chatbot,
use_streaming_checkbox,
use_websearch_checkbox,
index_files,
language_select_dropdown,
],
[chatbot, status_display],
show_progress=True,
).then(**end_outputing_args)
retryBtn.click(**get_usage_args)
delFirstBtn.click(
delete_first_conversation,
[current_model],
[status_display],
)
delLastBtn.click(
delete_last_conversation,
[current_model, chatbot],
[chatbot, status_display],
show_progress=False
)
likeBtn.click(
like,
[current_model],
[status_display],
show_progress=False
)
dislikeBtn.click(
dislike,
[current_model],
[status_display],
show_progress=False
)
two_column.change(update_doc_config, [two_column], None)
# LLM Models
keyTxt.change(set_key, [current_model, keyTxt], [user_api_key, status_display], api_name="set_key").then(**get_usage_args)
keyTxt.submit(**get_usage_args)
single_turn_checkbox.change(set_single_turn, [current_model, single_turn_checkbox], None)
model_select_dropdown.change(get_model, [model_select_dropdown, lora_select_dropdown, user_api_key, temperature_slider, top_p_slider, systemPromptTxt, user_name], [current_model, status_display, chatbot, lora_select_dropdown, user_api_key, keyTxt], show_progress=True, api_name="get_model")
model_select_dropdown.change(toggle_like_btn_visibility, [model_select_dropdown], [like_dislike_area], show_progress=False)
lora_select_dropdown.change(get_model, [model_select_dropdown, lora_select_dropdown, user_api_key, temperature_slider, top_p_slider, systemPromptTxt, user_name], [current_model, status_display, chatbot], show_progress=True)
# Template
systemPromptTxt.change(set_system_prompt, [current_model, systemPromptTxt], None)
templateRefreshBtn.click(get_template_names, None, [templateFileSelectDropdown])
templateFileSelectDropdown.change(
load_template,
[templateFileSelectDropdown],
[promptTemplates, templateSelectDropdown],
show_progress=True,
)
templateSelectDropdown.change(
get_template_content,
[promptTemplates, templateSelectDropdown, systemPromptTxt],
[systemPromptTxt],
show_progress=True,
)
# S&L
saveHistoryBtn.click(
save_chat_history,
[current_model, saveFileName, chatbot, user_name],
downloadFile,
show_progress=True,
)
saveHistoryBtn.click(get_history_names, [gr.State(False), user_name], [historyFileSelectDropdown])
exportMarkdownBtn.click(
export_markdown,
[current_model, saveFileName, chatbot, user_name],
downloadFile,
show_progress=True,
)
historyRefreshBtn.click(**refresh_history_args)
historyDeleteBtn.click(delete_chat_history, [current_model, historyFileSelectDropdown, user_name], [status_display, historyFileSelectDropdown, chatbot], _js='(a,b,c)=>{return showConfirmationDialog(a, b, c);}')
historyFileSelectDropdown.change(**load_history_from_file_args)
downloadFile.change(upload_chat_history, [current_model, downloadFile, user_name], [saveFileName, systemPromptTxt, chatbot])
# Train
dataset_selection.upload(handle_dataset_selection, dataset_selection, [dataset_preview_json, upload_to_openai_btn, openai_train_status])
dataset_selection.clear(handle_dataset_clear, [], [dataset_preview_json, upload_to_openai_btn])
upload_to_openai_btn.click(upload_to_openai, [dataset_selection], [openai_ft_file_id, openai_train_status], show_progress=True)
openai_ft_file_id.change(lambda x: gr.update(interactive=True) if len(x) > 0 else gr.update(interactive=False), [openai_ft_file_id], [openai_start_train_btn])
openai_start_train_btn.click(start_training, [openai_ft_file_id, openai_ft_suffix, openai_train_epoch_slider], [openai_train_status])
openai_status_refresh_btn.click(get_training_status, [], [openai_train_status, add_to_models_btn])
add_to_models_btn.click(add_to_models, [], [model_select_dropdown, openai_train_status], show_progress=True)
openai_cancel_all_jobs_btn.click(cancel_all_jobs, [], [openai_train_status], show_progress=True)
# Advanced
max_context_length_slider.change(set_token_upper_limit, [current_model, max_context_length_slider], None)
temperature_slider.change(set_temperature, [current_model, temperature_slider], None)
top_p_slider.change(set_top_p, [current_model, top_p_slider], None)
n_choices_slider.change(set_n_choices, [current_model, n_choices_slider], None)
stop_sequence_txt.change(set_stop_sequence, [current_model, stop_sequence_txt], None)
max_generation_slider.change(set_max_tokens, [current_model, max_generation_slider], None)
presence_penalty_slider.change(set_presence_penalty, [current_model, presence_penalty_slider], None)
frequency_penalty_slider.change(set_frequency_penalty, [current_model, frequency_penalty_slider], None)
logit_bias_txt.change(set_logit_bias, [current_model, logit_bias_txt], None)
user_identifier_txt.change(set_user_identifier, [current_model, user_identifier_txt], None)
default_btn.click(
reset_default, [], [apihostTxt, proxyTxt, status_display], show_progress=True
)
# changeAPIURLBtn.click(
# change_api_host,
# [apihostTxt],
# [status_display],
# show_progress=True,
# )
# changeProxyBtn.click(
# change_proxy,
# [proxyTxt],
# [status_display],
# show_progress=True,
# )
checkUpdateBtn.click(fn=None, _js='manualCheckUpdate')
# Invisible elements
updateChuanhuBtn.click(
update_chuanhu,
[],
[status_display],
show_progress=True,
)
logging.info(
colorama.Back.GREEN
+ "\n川虎的温馨提示:访问 http://localhost:7860 查看界面"
+ colorama.Style.RESET_ALL
)
# 默认开启本地服务器,默认可以直接从IP访问,默认不创建公开分享链接
demo.title = i18n("川虎Chat 🚀")
if __name__ == "__main__":
reload_javascript()
demo.queue(concurrency_count=CONCURRENT_COUNT).launch(
blocked_paths=["config.json"],
favicon_path="./web_assets/favicon.ico",
)
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